Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the readOnlyHint and openWorldHint annotations, the description discloses key behaviors: aggregation from Naver, AI relevance classification, 5-minute cache, English translation, and the exact return structure. The payment and docs links also set accurate expectations for invoking the tool. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and front-loaded with purpose, followed by return format and parameter details. The payment block is verbose but contains necessary integration information. It earns its place despite a few extra lines about clients and docs which could be condensed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple single-parameter schema and annotations, the description is fully complete. It covers the return fields, caching behavior, payment requirements, and invocation prerequisites, leaving no critical ambiguity for the agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already fully describes the limit parameter with type, default, and range. The description repeats this information without adding additional semantics beyond what the schema provides. Baseline 3 is appropriate since schema coverage is 100%.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: retrieving Korean K-pop news, with specific detail on sources (Naver), translation to English, and AI classification. It effectively distinguishes itself from sibling tools like get_kr_news_semiconductor and get_kr_news_kpop_summary by focusing on K-pop content.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool (when K-pop news is needed) but does not explicitly mention alternatives or exclusions. The sibling tools are named in the context, but the description itself does not guide the agent to choose this over others. The payment and client requirements are stated, but typical usage context is only implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.